Triple

T9505724
Position Surface form Disambiguated ID Type / Status
Subject Manila–New York E229263 entity
Predicate typicalOriginAirportIATA P45614 FINISHED
Object MNL E261759 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: MNL | Statement: [Manila–New York, typicalOriginAirportIATA, MNL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MNL
Context triple: [Manila–New York, typicalOriginAirportIATA, MNL]
  • A. MNL chosen
    MNL is the IATA airport code for Ninoy Aquino International Airport, the main international gateway serving Metro Manila in the Philippines.
  • B. Dondon
    Dondon is a historic commune in northern Haiti known for its colonial-era architecture, coffee production, and nearby cave systems with pre-Columbian rock art.
  • C. World Trade Center Metro Manila
    World Trade Center Metro Manila is a major exhibition and convention center in Pasay City that hosts trade shows, conferences, and large-scale events.
  • D. Metro Cebu
    Metro Cebu is the main metropolitan area of Cebu in the Philippines, encompassing Cebu City and its surrounding cities and municipalities as a major economic, cultural, and transportation hub in the Visayas region.
  • E. Malabon
    Malabon is a coastal city in the northern part of Metro Manila in the Philippines, known for its historic districts, flood-prone waterways, and distinctive local cuisine.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69ca847611c48190a28c028644198c75 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9852b7e48190a8f69cbde10d2858 completed April 1, 2026, 10:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69d13a1de2d88190a6a10379d2297510 completed April 4, 2026, 4:19 p.m.
Created at: March 30, 2026, 7:57 p.m.